Top Machine Learning Jobs in Minneapolis, MN

As an AI/ML Engineer, design and develop AI solutions integrated into healthcare workflows, collaborating across teams to enhance patient care using technologies like React and Python.

The AI/ML Engineer will build and operate scalable machine learning platforms and MLOps pipelines, collaborating with various teams to develop AI solutions for healthcare.

The Sr AI/ML Engineer designs and deploys generative AI and NLP solutions, develops large language models, and implements AI systems for healthcare impact.

Lead the design and development of AI/ML models for healthcare. Collaborate with business partners and other teams to ensure high-quality execution and adherence to architectural principles.

Lead the AI Platform team at Zapier, focusing on enabling product teams to ship AI/ML-powered features efficiently and safely.

Lead AI/ML Engineer to design, develop, and deploy AI-powered solutions across the full ML lifecycle. Own architecture, MLOps, monitoring, and scalability. Partner with product, data science, and platform teams, mentor junior engineers, and drive adoption of best practices for production ML and generative AI solutions.

Lead development of AI/ML solutions for healthcare using structured and unstructured data. Build and test deep learning and classical ML models, design experiments, perform statistical analysis and visualizations, ensure responsible AI compliance, produce documentation/patents/publications, and collaborate on MLOps pipelines and stakeholder integrations.

Lead end-to-end generative AI and ML initiatives: design scalable AI architectures, build and productionize models, run experiments and A/B tests, analyze healthcare datasets, implement MLOps, research novel approaches, and mentor/hire AI/ML engineers.

Design, implement, and operate production AI/ML systems for healthcare. Own inference and delivery of ML insights, scale and monitor models, build and optimize data pipelines, apply MLOps practices, and partner with cross-functional teams to integrate AI into products.

Lead development of novel AI/ML solutions for healthcare using structured and unstructured data. Build and evaluate deep learning and classical ML models, design experiments, perform statistical analysis and visualizations, collaborate with stakeholders and RUAI for compliant solutions, produce documentation/publications, and enable MLOps pipelines with engineering teams.

Lead AI/ML engineering to design, build, and deploy predictive models and reusable ML platforms. Mentor scientists and engineers, collaborate cross-functionally, ensure responsible AI compliance, and publish or patent novel methods. Drive adoption of GenAI/LLM solutions and production-grade pipelines for healthcare use cases.

Design, develop, and deploy production-grade AI/ML models and pipelines (LLMs, RAG, Transformers). Work with agentic frameworks, scale training/inference on Databricks/PySpark, integrate solutions via Docker and REST APIs, leverage cloud services (Azure/AWS), participate in AI governance, and mentor junior engineers to deliver measurable pharmacy optimization outcomes.

Lead design, development, deployment, and maintenance of AI/ML solutions (including LLMs and Generative AI) for healthcare. Drive adoption of responsible AI, build conversational/chatbot systems, integrate AI into cloud services, ensure production reliability, mentor engineers, and align solutions with enterprise AI strategy and product goals.

Develop and implement machine learning solutions using LLMs, applying fine-tuning and RAG methodologies while utilizing the Langchain framework and ensuring production-quality code.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

The Senior AI ML Engineer will develop AI systems, ensure model quality, lead architecture governance, and manage observability for healthcare solutions.

The Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

As an AI Integrations Staff Engineer at Vetcove, you'll integrate AI models like ChatGPT into existing products, optimize performance, and collaborate with data science teams to enhance user experience.

The Senior Applied Scientist will lead research projects in AI/ML for various legal and taxation solutions, focusing on developing scalable AI capabilities while mentoring junior team members.

The Senior Director of Data leads RVO Health's data functions, overseeing teams in analytics, engineering, data science, and AI while executing a comprehensive data strategy to drive business outcomes.

The HR Technology Director leads the optimization of HR digital infrastructure, ensuring efficient, data-driven processes and improving employee experience through technology integration and change management.

Lead AI strategy and execution in healthcare by developing advanced AI/ML solutions, establishing ethical AI governance, and mentoring talent.

This senior AI/ML engineering role focuses on designing ML models, embedding creation, RAG pipeline development, and integrating AI solutions within enterprise applications. Collaboration with cross-functional teams and optimization of AI pipelines are key responsibilities.

Develop algorithms for image segmentation, classification, and detection in Onto's inspection systems, utilizing machine learning and optical imaging techniques while supporting production code development.